In this paper we model banking risk exposure in a non-linear VAR framework. We included banking aggregates such as write-offs, provisions expenses, and total loans. Overall fitting of the model is good for chilean data. In and out sample forecasts are better than a simple ARIMA model. Given this we consider that the model provides a good input for stress testing analysis of Chilean banking system.